This page lists current other NCI and NIH cancer imaging initiatives, including grant mechanisms where industry is encouraged to apply.
The NCI's Division of Extramural Activities provides information about newly approved concepts, which may become RFAs and PAs. Check the Concepts Cleared at the NCI Board of Scientific Advisors Meeting web site for the earliest possible information about future initiatives.
Immune cell metabolism or immunotherapy: T. Kevin Howcroft, Ph.D., 240-276-6200, Howcrofk@mail.nih.gov
Cancer cell metabolism or metabolomics: Barbara Spalholz, Ph.D., 301-496-7028, firstname.lastname@example.org
Metabolic imaging and technology development: Huiming Zhang, Ph.D., 240-276-5979, email@example.com
This Funding Opportunity Announcement (FOA) invites research project grant (R01) revision applications from investigators with active NIH R01 research project grant awards to support an expansion of the scope of the funded R01 project grant awards through the addition of one or more new specific aims. Revision applications are expected to stimulate collaborative research projects to generate a mechanistic understanding of the metabolic processes that support robust anti-tumor immune responses in vivo, determine how the metabolic landscape of the tumor microenvironment affects immune effector functions, and use this information to manipulate (or reprogram) the metabolic pathways used by the tumor, the immune response, or both to improve cancer immunotherapy.
Jiayin (Jerry) Li, M.D., Ph.D.; Phone: 240-276-6210; Email: firstname.lastname@example.org
For contact information for specific areas, please consult the FOA for the complete list.
The purpose of this Funding Opportunity Announcement (FOA) is to invite revisions (formerly called "competing revisions") from currently funded NCI P01 program projects for early-stage development of enabling informatics technologies to improve the acquisition, management, analysis, and dissemination of data and knowledge. As a component of the NCI's Informatics Technology for Cancer Research (ITCR) Initiative, this FOA aims to promote interdisciplinary collaboration in the development of innovative computational methods and informatics approaches that are essential for cancer research on all fronts to accelerate scientific discovery and ultimately translate data into knowledge and clinical practice. Applications that focus on data processing and analysis or mathematical/statistical modeling alone without new technology development are not appropriate for this FOA.